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Operational playbooks, KPIs, and AI tooling for in-house legal teams. Outside counsel management, contract review, AI governance, and matter intake for solo GCs through 50-person law departments.

M&A due diligence, financing instruments, 409A valuations, schedule drafting, and entity selection for corporate lawyers, deal counsel, and founder-side counsel.

State-by-state references on enforceability, indemnification, choice of law, jury-trial waivers, statute of limitations, and other recurring drafting questions for corporate and transactional lawyers.

Model Context Protocol servers, agent integration, and developer-grade legal APIs. How to wire the statutes API into Claude, Cursor, Claude Code, and internal copilots.

How legal AI hallucinates, why citation verification matters under ABA Formal Opinion 512 and post-Mata sanctions, and how to evaluate a vendor verification claim before signing.

Workflows and tooling for contract drafting, document comparison, NDA triage, document matrix extraction, redlining, and chronology building. For litigators, transactional lawyers, and in-house teams alike.

Side-by-side comparisons and pricing teardowns of Westlaw, LexisNexis, Harvey, Casetext / CoCounsel, vLex, Spellbook, Legora, and Vaquill AI. For buyers evaluating legal AI platforms.

Every body of US primary law you can query by API: the Code of Federal Regulations, the Federal Register, the Statutes at Large, executive orders, federal rules, and the statutes, regulations, constitutions and court rules of all 52 jurisdictions.

What agencies say their own rules mean, issued without notice-and-comment: IRS revenue rulings, bank supervisory letters, the MPEP and TMEP, the USCIS Policy Manual, NLRB memoranda, HIPAA guidance, export-control opinions, and the DOJ Justice Manual.

What separates a legal text API from legal infrastructure: where each section came from, how often it refreshes, how a change is detected and delivered, how a citation resolves, and what the response schema guarantees.